/***********************************************************************

	This file is part of KEEL-software, the Data Mining tool for regression, 
	classification, clustering, pattern mining and so on.

	Copyright (C) 2004-2010
	
	F. Herrera (herrera@decsai.ugr.es)
    L. Sánchez (luciano@uniovi.es)
    J. Alcalá-Fdez (jalcala@decsai.ugr.es)
    S. García (sglopez@ujaen.es)
    A. Fernández (alberto.fernandez@ujaen.es)
    J. Luengo (julianlm@decsai.ugr.es)

	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program is distributed in the hope that it will be useful,
	but WITHOUT ANY WARRANTY; without even the implied warranty of
	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
	GNU General Public License for more details.

	You should have received a copy of the GNU General Public License
	along with this program.  If not, see http://www.gnu.org/licenses/
  
**********************************************************************/

package keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL;

/**
 * <p>
 * @author Written by Jesus Alcala Fernandez (University of Granada) 01/01/2004
 * @author Modified by Francisco José Berlanga (University of Jaén) 09/12/2008 
 * @version 1.0
 * @since JDK 1.6
 * </p>
 */

class Structure {
/**	
 * <p>
 * Each member of the population has this form
 * </p>
 */
 
    public double[] Gene;
    public char[] GeneSel;
    public int n_genes;
    public double Perf;
    public T_Consequent[] Consecuente;
    public int n_e;

    /**
     * <p>
     * Constructor
     * </p>
     * @param genes int The number of genes of the chromosome
     * @param num_clases int the number of clases of the problem     
     */
    public Structure(int genes, int num_clases) {
        n_genes = genes;
        Gene = new double[n_genes];
        GeneSel = new char[n_genes];

        Consecuente = new T_Consequent[num_clases];
        Consecuente = new T_Consequent[num_clases];
        for (int i = 0; i < num_clases; i++) {
            Consecuente[i] = new T_Consequent();
        }
    }
}

